Chandrajit L' Bajaj

1
Coupling Collaborative Modeling and Visualization
with Simulations

• Chandrajit L. Bajaj

From September 1/1997 Center for Data
Visualization Department of Computer
Science/TICAM University of Texas at Austin
Shastra Lab Department of Computer
Sciences Purdue University
2
Collaborative Visualization

• Shared Viewing/Interrogation
• Shared Navigation
• Shared Caches
• Computational Steering

3
Data Flow
Paragon
Flow Solver
Server
Collaboration Control
Consistency Control
Timestep Cache
Results Cache
Iso-Contour Cache
ATM Network
Interactive Visualization Client
Collaborative Session
4
Integrated Control Behavior
Flow Solver
Flow Solutions
New Solver Parameters
Visualization Client
Collaboration Manager
Visualization Client
Iso-Contour Request
Vortex Models
Solver Steering
Iso-Contours
Visualization Client
User Communication and Shared Results
5
Collaborative Behavior
Paragon Server
Shared Results
Interactive Visualization Client
Collaborative Session
6
Shastra Substrate

• Distribution Support
• Collaboration Support
• Constraint Management
• Multimedia Communication Support
• Open Standards Support
• Multi-Platform Architecture
• Heterogeneous Environment Support

7
Shastra Runtime Environment
8
Network Architecture
SP2
INTEL PARAGON
WS
MASSIVE STORAGE
FDDI Ring
Campus FDDI Backbone
A T M
A T M
F D D I
H I P P I
F D D I
F D D I
H I P P I
NSC Router
CISCO Lighstream
ATM Switch (CS)
ATM Switch (PUCC)
WS
WS
WS
WS
WS
WS
Ethernet
9
Interrogative Visualization
Data Synthesis Computation
Workstation
Workstation
Servers
Display, Querying Analysis
Domain Data Acquisition
10
Results

• Vorticity Data
• Resolution 65 x 65 x 129
• Seed Cells 3295 (2.87)
• Preprocessing 7.93s
• Isovalue 0.784
• Triangles 66462
• Marching Time 3.25s
• Our Time 0.98s

Data courtesy Prof. Greg Blaisdell, Schools of
Engineering, Purdue University
11
Vector Field Visualization
Time evolution of a vortical structure from
initial conditions through onset of turbulence.
Structure is obtained from vorticity magnitude.
12
Vector Field Visualization
An isocontour of vorticity magnitude is displayed
with partial transparency. The red contour
represents a region of positive production term
of turbulent kinetic energy. The green contour
represents negative production terms.
13
Interrogation of Axial Vortices

• How is the turbulent kinetic energy produced ?
• How do helical vortices develop ?
• Are the production terms of kinetic energy
  related to the large helical vortices ?
• Do the helical vortices rotate or move axially or
  remain stationary?

14
Vortex Visualization

• Vortex core (red) computed by vector field
  topology. Green curves are streamlines computed
  near critical points on the vortex core.

15
Axial Vortex Visualization
16
Axial Vortex Visualization